Study On Methods For Key Customer Requirement Oriented Product Collaborative Innovation

With the increasing global competition, the rising cost of product innovation, the diversification of the customer requirements(i.e., CRs), more enterprises tend to put limited resources to meet the key CRs better in product innovation in order to realize the product differentiation strategy, therefore enhancing product competitiveness, increasing product additional value, improving innovation efficiency and customer satisfaction. Customer collaborative product innovation(i.e., CCPI) as a new product innovation model that can develop customers‘ potential better, has drawn wide attention from the scholars in product innovation design and research. However, little research has investigated how to identifying key CRs and how to generate product innovation solutions for key CRs in CCPI. Therefore, this paper studys methods on identifying key CRs(considering or not considering decision-makers‘ psychological behaviors) and generating product innovation solutions(mapping key CRs into product innovation solutions and selecting the ideal solutions) based on systematic analysis on related theory and technology about sorting of CRs. The main work and contributions of the dissertation are as follows:First, a methodological framework for the key CRs oriented product design in CCPI was constructed. The systematic definitions for the key CRs oriented product design in CCPI were introduced, including basic concepts, participant agents and implementation process. Then, the major involved issues, relevant theories and methods were analyzed and summarized, and the overarching research framework from the idea of problem finding, problem analyzing and problem solving was proposed.Second, the problem of key CRs identification without considering the decision-makers‘ spsychological behavior was investigated. The inapplicability of the traditional CRs ranking methods under uncertain environment in CCPI was analyzed, and the methods of standardized mixed uncertain customers‘ assessments and determined different customers‘ weights were developed based on combine grey relational analysis(i.e., GRA) and immune particle swarm optimization(i.e., IPSO). Then, the IPSO-GRA method of key CRs identification was developed based on the relative importance ratings of customer requirements(i.e., RIRs of CRs) and the IPSO-GRA·MD method of key CRs identification was developed based on the competitive priority ratings of customer requirements(i.e.,CPRs of CRs). Finally, a case analysis is given to show the validity and feasibility of the proposed approaches.Third, the problem of key CRs identification with consideration of decision-makers‘ psychological behaviors was investigated. In order to describe decision-makers‘ psychological behaviors in different environment of risk aversion, the decision-makers‘ constant absolute risk aversion utility functions were studied and on which the Fuzzy Utility Functions(i.e., FUF) were established for different forms of customers‘ assessments. Combining GRA and Convex Optimization, the FUF-GRA approach of key CRs identification was proposed based on the RIRs of CRs. To describe the decision-makers‘ psychological behaviors that consider ―Lose‖ more sensitive than ―Gain‖, the TODIM methd which based on prospect theory was introduced to get CPRs of CRs and then the FUF-GRA?TODIM approach of key CRs identification was put forwarded. Finally, it verifies the necessity and feasibility of the proposed methods through case studying.Forth, the procedural model of mapping the key CRs into product innovation solutions was investigated. By analysing problems of mapping the key CRs into product innovation solutions in CCPI, four principles that are systematization, cooperation, independence and learnability for building Cognitive Navigation Mode(i.e., CNM) were introduced. Then the construction process of product innovation cognitive map towards different customers and companies‘ experts was proposed through cognitive map technologies. In order to manifest different innovation agents‘ innovative concepts and thoughts toward key CRs as much as possible, the principle in dealing with different innovation agents‘ cognitive maps was developed to map the key CRs into product innovation solutions. For dealing with conflicts that may exist in the product innovation solutions, the improved procedural model of CNM-TRIZ was developed with the help of TRIZ and its realistic basis and features were discussed. Finally, a case analysis is given to show how to deal with conflicts in the product innovation solutions.Fifth, the selection methods of product innovation solutions were investigated. Considering choosing an ideal solution from several product innovation solutions is a typical hybrid multiple attribute decision making(i.e., MADM) problems, it is necessary to propose novel hybrid MADM methods based on the outranking relation after analyzing the develped hybrid MADM methods. By discussing the superiority and inferiority ranking(i.e., SIR)methd based on the outranking relation, the hybrid SIR method(i.e., HB-SIR) which is suitable for dealing with attribute values including exact numbers, interval numbers, triangular fuzzy numbers and trapezoid fuzzy numbers was developed. In practice, there may be interdependent and interrelated relationship among attributes. Aiming to solve this problem, the HB-SIR·Choquet method was proposed by introducing Choquet integral in HB-SIR mthod. Finally, through case studying, it verifies the effectiveness and feasibility of the proposed methods.In conclusion, this paper established a new methodological system for mapping the key CRs into product innovation solutions in CCPI, in particular, it laid theoretical foundation for further research under the circumstances of lacking data, poor information, and considering decision-makers‘ psychological behaviors. Case analysis shows that this research provides technical support for companies in implementing targeting product innovation in CCPI.